- AutorIn
- Hauke Meeuw Hamburg University of Technology (TUHH), Institute of Polymer and Composites
- Valea Kim WisniewskiHamburg University of Technology (TUHH), Institute of Polymer and Composites
- U. KöpkeEXAKT Advanced Technologies GmbH
- Dr. Ali Shaygan Nia
- Adrián Romaní Vázquez
- Dr. Martin Rudolf Lohe
- Prof. Xinliang Feng
- Bodo Fiedler
- Titel
- In‑line monitoring of carbon nanoparticle epoxy dispersion processes
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa2-706564
- Quellenangabe
- Production Engineering : Research and Development
Erscheinungsort: Heidelberg
Erscheinungsjahr: 2019
Jahrgang: 13
Heft: 3-4
Seiten: 373-390
E-ISSN: 1863-7353
DOI: 10.1007/s11740-019-00884-5 - Erstveröffentlichung
- 2019
- Abstract (EN)
- The new generation of three roll mills is able to monitor occurring process loads while dispersion. This paper focuses on the interpretation of the gathered data to find criteria quantifying the dispersion state online. The aim is process time reduction. We used impedance spectroscopy to identify the dispersion state and correlated it with the occurring process loads. The dispersion process of a wide spectrum of carbon based nano particles, namely carbon black, single walled carbon nanotubes, multi walled carbon nanotubes, a few-layer graphene powder, electrochemically exfoliated graphite and a functionalized electrochemically exfoliated graphite was investigated. The filler content was varied along the material’s electrical percolation threshold. The criteria found led to a reduction of processing time and revealed the prevalent mechanisms during dispersion.
- Andere Ausgabe
- Link zum Artikel, der zuerst in der Zeitschrift 'Production Engineering' erschienen ist.
DOI: 10.1007/s11740-019-00884-5 - Freie Schlagwörter (DE)
- Kohlenstoff-Nanopartikel, Dispersion, Dreiwalzenmühle
- Freie Schlagwörter (EN)
- Carbon nano particle, Dispersion, Three roll mill
- Klassifikation (DDC)
- 620
- 670.5
- 650
- Verlag
- Springer, Heidelberg
- Förder- / Projektangaben
- Europäischer Sozialfonds
Horizon2020
Graphenzentrum Dresden (GraphD)
ID: 100270084 - Version / Begutachtungsstatus
- angenommene Version / Postprint / Autorenversion
- URN Qucosa
- urn:nbn:de:bsz:14-qucosa2-706564
- Veröffentlichungsdatum Qucosa
- 29.04.2020
- Dokumenttyp
- Artikel
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis